def test_time_series_input_node():
# TODO. Change test once TimeSeriesBlock is added.
node = ak.TimeseriesInput(shape=(32, ), lookback=2)
output = node.build()
assert isinstance(output, tf.Tensor)
node = graph_module.deserialize(graph_module.serialize(node))
output = node.build()
assert isinstance(output, tf.Tensor)
def test_timeseries_block():
block = wrapper.TimeseriesBlock()
hp = kerastuner.HyperParameters()
block.column_names = ['0', '1']
block.column_types = {
'0': adapters.NUMERICAL,
'1': adapters.NUMERICAL,
}
block = graph_module.deserialize(graph_module.serialize(block))
block.column_names = ['0', '1']
block.column_types = {
'0': adapters.NUMERICAL,
'1': adapters.NUMERICAL,
}
output = block.build(hp,
ak.TimeseriesInput(shape=(32, ), lookback=2).build())
assert isinstance(output, tf.Tensor)
def test_time_series_input_node_deserialize_build_to_tensor():
node = ak.TimeseriesInput(shape=(32, ), lookback=2)
node = nodes.deserialize(nodes.serialize(node))
node.shape = (32, )
output = node.build(kerastuner.HyperParameters())
assert isinstance(output, tf.Tensor)